Environmental Measures Research Articles

The Implications of Handwashing and Skin Hygiene on Infectious Disease Dynamics: The African Scenario

Infectious diseases are largely preventable, yet they continue to pose a significant threat to public health, particularly among vulnerable populations in developing countries. Basic hygiene practices, especially hand and skin hygiene, have been shown to significantly reduce the risk of the cross-transmission of infections, including those caused by multi-drug-resistant organisms. In light of the growing global concern about antimicrobial resistance, there is an urgent need to review and reinforce these practices. This study provides a general overview of the role that hand hygiene practices play in decreasing infectious diseases by conducting a comprehensive review. Multiple online databases, including Google Scholar, Scopus, and Web of Science, were searched using relevant keywords such as “hygiene practices”, “infectious diseases”, “public health”, “Africa”, and “sanitation”. After filtering the search results for relevancy, selected studies were narratively synthesized to present the latest data on hand hygiene and its impact on infectious diseases. Strengthening hand and skin hygiene, along with environmental sanitation and preventive measures, can help reduce the spread of nosocomial infections. By emphasizing the importance of these fundamental hygiene practices, particularly in regions where the burden of infectious diseases is highest, the development of antibiotic-resistant diseases can be prevented, improving patient safety, and enhancing public health outcomes. Adopting comprehensive hygiene policies, including regular handwashing, is crucial for reducing the prevalence of infectious diseases and improving health outcomes in developing countries.

The Impact of Perfluorooctanoic Acid (PFOA) on the Mussel Mytilus galloprovincialis: A Multi-Biomarker Evaluation

Perfluorooctanoic acid (PFOA) has been widely studied due to its environmental persistence and bioaccumulation potential, raising concerns about its effects on aquatic life. This research evaluates the impact of PFOA on the antioxidant defenses and stress response systems of the mussel Mytilus galloprovincialis. Mussels were exposed to three concentrations of PFOA (1, 10, and 100 µg·L−1) over 28 days. Several biomarkers, including glutathione S-transferase (GST), superoxide dismutase (SOD), catalase (CAT), lipid peroxidation (LPO), total antioxidant capacity (TAC), vitellogenin (VTG), ubiquitin (UBI), and caspase-3 (CASP) were analyzed. The results suggest stress responses, particularly in animals exposed to higher concentrations, as shown by GST and SOD activities which increased according to PFOA concentrations. Additionally, oxidative stress markers such as MDA and CAT showed variable responses depending on the exposure concentration tested. This study underscores the need for further investigation into the effects of PFOA on mollusks but also the need to unveil gender-specific responses in aquatic organisms exposed to this contaminant. The concentrations of PFOA used in our research are lower than those examined in previous studies, providing crucial insights into the impacts of even minimal exposure levels. It highlights the potential of M. galloprovincialis as a bioindicator in environmental monitoring programs, providing crucial insights for environmental management and policymaking regarding regulating and monitoring PFOA in marine settings. Consequently, in a country where seafood consumption is the second largest in Europe, implementing environmental policies and regulatory measures to manage and monitor PFOA levels in marine environments is crucial.

Network Tomography Based on Adaptive Measurements in Probabilistic Environments

Network Tomography Based on Adaptive Measurements in Probabilistic Environments

A generalized TODIM approach based on information measurement and consensus building model in probabilistic hesitant fuzzy environment

A generalized TODIM approach based on information measurement and consensus building model in probabilistic hesitant fuzzy environment

Emissions Reduction Effects and Carbon Leakage Risks of Carbon Emissions Trading Policy: An Empirical Study Based on the Spatial Durbin Model

China’s carbon emissions trading policy represents a significant institutional innovation designed to advance the country’s economic and social development towards sustainability and low-carbon growth. This study investigates the effects of China’s carbon emissions trading policy by employing the difference-in-differences model and spatial Durbin model, using provincial panel data spanning from 2005 to 2020. We find that the carbon emissions trading policy can inhibit per capita carbon emissions in the pilot areas. This work is primarily driven by green technological innovation and the upgrade of industrial structure. Furthermore, the carbon emissions trading policy exhibits a positive spatial spillover effect, inhibits per capita carbon emissions in the areas adjacent to the pilot through demonstration effect and competition effect, and does not cause carbon leakage. These findings reveal the policy’s effectiveness in emissions reduction, and may be useful reference for promoting sustainable economic and social development. This is of great practical significance for exploring how to optimize environmental governance measures, avoid carbon leakage, and achieve balance and fairness in responsibilities in achieving low-carbon sustainable development. Our study proposes policy recommendations for synergizing the national trading market in China.

The community food environment as an effect modifier of the relationship between racial discrimination and food insecurity among adults in Southern Brazil

BackgroundRacial discrimination is linked to unhealthy food environments and a higher prevalence of food insecurity. However, no study has explored their interrelated effects. We analyzed the relationship between racial discrimination, community food environment, and food insecurity in adults of different socioeconomic status. We also investigated the potential modifying effect of the food environment on the relationship between racism and food insecurity.MethodsThis was a cross-sectional study of 400 adults aged 20–70 years residing in the central area of ​​Porto Alegre, the capital of Rio Grande do Sul state. Race and racial discrimination were assessed by self-reported race/skin color using the Experiences of Discrimination scale (EOD), respectively. The food environment was assessed using the Nutrition Environment Measures Survey in Stores (NEMS-S) tool. Food insecurity was assessed using the short version of the Brazilian Food Insecurity Scale (EBIA for short, in Portuguese). Poisson regression with robust variance was employed for the multivariate analysis.ResultsThe prevalence of food insecurity was higher in areas with a poorer food environment (areas 1 and 3; 56.6% and 58.8%, respectively). Racial discrimination was associated with food insecurity, where every 1-point increase in the racial discrimination score increased the likelihood of food insecurity by 7% (prevalence ratio [PR] 1.07; 95% CI, 1.03–1.20). When stratifying the analyses by food environment, racial discrimination was associated with food insecurity only in areas with a poorer food environment (PR 1.06; 95% CI, 1.01–1.10).ConclusionsExperiences of racial discrimination were associated with a higher prevalence of food insecurity in the study population. The community food environment was an effect modifier of this relationship, highlighting the relevance of interventions in the food environment focused on areas with a greater presence of Black people as a way of combating racism and food insecurity.

Assessment of the efficiency of functioning of the environmental management system of enterprises

Purpose. A multifactor model is developed to assess the efficiency level of an enterprise’s environmental management system, depending on the effectiveness of organizational environmental measures. Methodology. The authors’ method for determining a comprehensive criterion for monitoring the effectiveness of the environmental management system, which characterizes the efficiency of operation and determines the level of environmental safety of enterprises, is proposed and used. To solve the tasks, a complex research method was also used, which included the analysis and generalization of literary and patent sources, and analytical, experimental research using computer and mathematical modeling methods. Findings. According to the studies and calculations of the generalized environmental quality indicator – 0.64, 0.66 and 0.66, the largest negative impact on the environment is caused by the activities of enterprises in the Pecherskyi, Podilskyi, and Solomianskyi districts of Kyiv, respectively. The obtained data testify to the relationship between the effectiveness of the implemented environmental measures (saving and rational use of resources, application of environmental technologies, advanced training, and environmental competence of employees) and the level of efficiency of the environmental management system of enterprises. Originality. As a result of the studies conducted using actual data, a system of indicators of the generalized environmental quality indicator has been proposed for the first time, which allows determining the environmental efficiency and effectiveness of the implemented environmental measures to assess the effectiveness of the functioning of the implemented environmental management system of the enterprise. Practical value. Based on the research results, a technique is proposed to assess the effectiveness of the environmental management system of enterprises by determining a generalized environmental quality indicator in terms of reducing the negative impact of the enterprise’s activities on the environment. Such an assessment system will help the management of the enterprise to promptly introduce corrective actions to improve the efficiency of the environmental management system and increase the level of environmental safety.

Method for luminescent digital image correlation deformation measurement in non-illuminated environments

This study presents a luminescent digital image correlation (DIC) method that utilizes long afterglow materials to prepare speckle patterns, overcoming the limitations of classical DIC in achieving high-precision deformation measurements, such as the issues of specular reflections from specimens and insufficient contrast of speckle patterns. While fluorescent DIC has some advantages in overcoming these limitations, it relies on active ultraviolet light sources, making it challenging for luminescent measurements. Long afterglow materials, capable of maintaining brightness for extended periods, serve as a viable alternative. Through sphere reconstruction experiments, the accuracy of this method was validated, demonstrating a relative error of 0.04% under well-illuminated conditions and 0.025% under non-illuminated conditions. Finite element simulations and a comparison with DIC experimental results showcased excellent consistency, suggesting the potential for this method to further replace fluorescent DIC measurements. Furthermore, the study revealed that speckle patterns prepared using this approach ensure measurement validity in both well-illuminated and non-illuminated scenarios. This luminescent DIC method holds promising potential for broader applications in non-illuminated measurement environments.

Research on the Factors That Influence and Improve the Quality of Informal Learning Spaces (ILS) in University Campus

Currently, with the intensification of global education competition, how to cultivate innovative and versatile talents has become the focus of education today. Informal learning spaces (ILS) have received widespread attention due to their benefits for interdisciplinary interaction. Many forms of ILS have been built, and coffee shops are one of them. However, there is no uniform standard for the design of cafes as ILS, and there are many problems with the spatial quality. This study took a university cafe as a case study and conducted research on the environmental quality and influencing factors from the perspective of environmental behavior. In terms of research methods, this study adopted a combination of ultra-wideband positioning, questionnaire surveys, and environmental data measurements. This research method could obtain the complete relationship between user behavior, time, and location, which improved the shortcomings of traditional research methods of fragmented and accidental data acquisition, and helped to obtain more accurate research results. The study identified the impact proportions of four criteria layer elements and 26 scheme layer factors, which was also the main contribution of this study. In terms of four criteria layer elements, the physical elements had the highest proportion, accounting for 32.46%. The ontology elements ranked second, accounting for 27.07%. The atmosphere elements ranked third, accounting for 24.19%. Finally, facility elements accounted for 16.29%. The top three scheme layer factors were equipment and facilities, noise, and illumination, with weights of 11.18%, 10.71%, and 8.35%, respectively. The study summarized the development directions of cafes as ILS, such as considering the learning needs of different groups, installing sound-absorbing and soundproof devices, adding grilles to external windows, and improving glare problems.

Obesogenicity perception of food environments in adults: A cross-sectional study in urban areas of Santiago, Chile.

In Chile, there is a high prevalence of obesity, and most people have an inadequate quality of food. Food environments can constitute barriers that prevent healthy food choices and lead to overweight and obesity, as well as diet-related non-communicable diseases. There are international instruments that allow the characterization of food environments. In Chile, there are no studies on the perception of food environments. This study aimed to characterize the perception of obesogenicity of food environments in the urban Chilean population using an instrument previously validated in Chile. This is a cross-sectional study with probabilistic sampling. The "Perceived Nutrition Environment Measures Survey", based on the Chilean model of food environments, was applied to 256 participants from two urban communities of the Metropolitan Region. Scores were calculated for the instrument items, which allowed calculating scores by environments included in the Chilean model of Food Environments. Negative scores were related to a higher obesogenic level. The results show that the domestic food environment is perceived as less obesogenic (median of 15.8 points), with more than 90% of households having fruits, vegetables, and legumes, even though the supply food environment was negative (median -0.19 points). However, about 50% of households had ultra-processed foods. The street food environment was perceived as the most obesogenic (median -1.91 points), with more than 60% of the participants indicating difficulty finding healthy options. According to the level of obesogenicity of the environments studied, it is necessary to have public policies that improve them and ensure the availability and physical and economic access to healthy food, particularly in the food supply and public road environments.

Management Ergonomics Sector Analysis Oil Palm Plantation

Indonesia, the world’s largest palm oil producer, significantly impacts global crude palm oil (CPO) production. Despite its economic value, manual labor in oil palm plantations often involves non-ergonomic practices, particularly in tasks like loading and unloading, leading to worker fatigue and increased risks of Musculoskeletal Disorders (MSDs). This research aims to evaluate ergonomic risks and MSD prevalence among oil palm workers by analyzing body posture during daily tasks. Data were collected using the RULA method, Nordic Body Map, and environmental measurements, supported by interviews and observations. Findings reveal that improper lifting and posture during harvesting contribute to fatigue and MSDs among workers. Recommendations for improvement include regular ergonomic training, adjustments to work posture, and the addition of safety equipment like fire extinguishers. By implementing these changes, the study seeks to improve worker safety, minimize MSD occurrences, and boost productivity in oil palm plantations. These insights are vital for ensuring sustainable practices in the industry and promoting the well-being of plantation workers.

Object Localization in Highly Cluttered Environments Using Neural Network Learning on Microwave Scattering Data

ABSTRACTBifocusing‐based microwave imaging is a promising direct imaging method for object localization in various applications. However, the method has the limitation that it only works well in environments with a homogenous background. In this paper, we present a direct microwave imaging method using a neural network (NN) model that can localize a small object even in highly cluttered environments with strong scatterers. The NN model is trained on some data sets obtained through multistatic measurements in a nonhomogeneous environment. To verify the approach, we prepared an experimental testbed equipped with a water tank containing 3 strong scatterers and 16 antennas to obtain 920 MHz multistatic scattering data. This experiment shows good localization performance, with an average localization error of approximately 4 mm (1/9 of a wavelength) over the entire experimental area, even in a strong scattering background.

The Role of Corporate Social Responsibility in Supporting SDGs: A Propriety and Fairness Perspective

Introduction: Increasingly complex environmental challenges demand transparent and accountable measurement of corporate social responsibility (CSR). To create corporate value and monitor social, environmental, and economic impacts, companies and governments collaborate to promote ethical CSR practices and meet existing regulatory requirements, while supporting transparency and accountability in achieving the Sustainable Development Goals (SDGs). However, varying CSR measurement standards often make it difficult to compare performance between companies. Objective: To uncover how stakeholders define the propriety and fairness of companies to achieve the SDGs. Method: Research data were obtained from interviews with company leaders/internal auditors/external auditors/teams involved in the company's CSR evaluation process totaling 81 people. The data collection process was carried out in a hybrid manner. Results and Discussion: In terms of regulations, most companies have complied with regulations related to transparency, financial reporting, and CSR. In terms of propriety and fairness, CSR costs cannot be classified as income, but rather as a reduction in taxable income (expenses). However, it turns out that there are still companies that include CSR costs in other income. Research Implications: This study develops a model for assessing the propriety and fairness of CSR in sustainability reporting, including the social and environmental impacts of its business to support the achievement of SDGs. Originality/Value: This study produces a measurable assessment of the propriety and fairness of corporate CSR, which supports SDGs in improving corporate accountability and transparency.

Exploring Burden of Disease Metrics in EU legislation: A Systematic Analysis

Abstract Background The burden of disease (BoD) methodology is a valuable tool for evidence-based policymaking. However, there is currently no systematic analysis available regarding its use in the European Union (EU) legislation framework. This study aims to describe the implementation of BoD methodology in EU legislation. Methods A search was conducted on EUR-Lex, the official and most comprehensive platform to access EU legal documents. The main inclusion criteria in the analyses were date of publication (between 2004 and 2023, accounting for EU-25) and inclusion of BoD metrics (years of life lost - YLL, years lived with disability - YLD or disability-adjusted life years - DALY). Descriptive and network analysis were conducted to analyse the legislation content. Results Out of 2592 documents, 191 met the set criteria. Ten were legally binding, and 69% were published after 2018. The European Commission (n = 152) was the most regular issuing institution. BoD was mainly used as an argument (n = 93) and for impact assessment (n = 50). The metrics were commonly presented in the main text (n = 122) and in the annex (n = 48). EuroVoc domains like environment and social questions prevailed. The most frequent EuroVoc terms were climate change policy (n = 45), EU environmental policy (n = 32) and pollution control measures (n = 32). Discussion Despite the growing recognition of BoD metrics in supporting policymaking, only 191 documents published over the past 20 years within the EU legislation make reference to this methodology. Greater efforts in knowledge dissemination and directing research towards specific policy uptake may increase the application of BoD studies in EU policies. By advocating for increased awareness, promoting collaboration between researchers and policymakers, and targeting research efforts towards specific policy needs, a more comprehensive integration of BoD methodologies into EU legislation can be achieved, contributing for evidence-informed policies. Key messages • There were only 191 documents of the EU legislative documents published in the past 20 years mention burden of disease metrics, mainly addressing environmental and social issues. • There is a need to increase EU policy uptake from BoD studies, by conducting policy-oriented research, and building capacity among researchers and policymakers on BoD methodology.

Future Finland – A nationwide Finnish multidisciplinary birth cohort initiative

Abstract Increasing evidence suggests that early-life conditions may have substantial consequences on individual health and wellbeing throughout the lifecycle. Development of complex social and health issues may be best understood through longitudinal studies that combine the perspectives of social and health sciences. Future Finland aims to collect a nationwide lifelong data resource that through collaborative multidisciplinary research will strengthen future population welfare. Future Finland will be based on index children born in Finland (43.000/year) during a specific time period. National registers and other administrative data sources will provide data for the age cohort (children), their parents and siblings, with special effort on data from more rarely used sources (e.g., electronic health records, school records). Subsets of cohort members will be recruited in early pregnancy (consent) to undergo deeper data collection through questionnaires, biological and environmental samples and measurements, and digital monitoring data (e.g., physical activity, citizens digital footprint). The Future Finland preparatory phase started in 2023 at the Finnish Institute for Health and Welfare (THL). The Future Finland design and focus areas are currently being planned based on identified information gaps and with consultations of experts from other birth cohort studies. Data collection is planned to start in 2025 by piloting and foreseen to expand to full-scale in 2027-2028. The Future Finland data resource will be made available for the entire research community as openly as possible, at the same time maintaining the highest possible data security standards to protect privacy now and in the future. Future Finland enables novel interdisciplinary research and intervention setups, which will strengthen the knowledge base for societal decision-making and promote the future population welfare. Future Finland is funded by the Finnish Cultural Foundation. Key messages • Future Finland initiative will collect a nationwide lifelong data resource enabling novel cross-disciplinary research designs to produce groundbreaking and impactful scientific results. • A larger-scale use of data enables novel interdisciplinary research and intervention setups strengthening the knowledge base for societal decision-making and promoting the future population welfare.

Urban Exposome and Health

Abstract Background The environment in which we live is thought to explain 70% of the non-communicable disease burden. The aim of EXPANSE project (funded from the European Union Horizon 2020 research and innovation programme under grant agreement No 874627) is to evaluate the optimal strategies for maintaining health in the context of contemporary urban environments. As a component of the project, Urban Labs allow deep phenotyping of the urban exposome and assessing its use and perception. The Urban Labs aim to improve exposure assessment, identify mediating and modifying lifestyle factors, and link the urban exposome to intermediate endpoints relevant for cardiometabolic and pulmonary health. Methods By monitoring the activities of 4,000 individuals in five distinct urban areas, Urban Labs provide a comprehensive understanding of the urban exposome, which can be compared with residential address-based model estimates. The participants complete a baseline questionnaire, repeated bi-monthly questionnaires and exposure-specific questionnaires over a period of 2 years using mobile phone application (ExpanSeeker). Two-week personalized measurements including spatial-temporal activity patterns, sensor-based environmental and behavioral measurements, and minimally invasive biological sample collection are performed covering different seasons. Results The Baseline Questionnaire (BQ) and two-weeks measurement campaigns (MC) were completed in European cities as follows: Athens BQ = 379, MC = 232; Barcelona BQ = 1040, MC = 303; Basel BQ = 731, MC = 655; Lodz BQ = 634, MC = 100; The Netherlands (multicity) BQ = 1033, MC = 326. Data collection process is ongoing. Conclusions The collection of novel data on individuals activities and perceptions within temporal and geographical contexts in Urban Labs will contribute to a more comprehensive understanding of how the urban dwellers are exposed to and interact with their environment, thereby supporting healthier urban engineering and policy making. Key messages • Urban Labs will provide a more comprehensive understanding of the impact of the urban environment on individual’s behavior, their exposome, enabling more accurate prediction of non-communicable risk. • Urban Labs will provide a base to support healthier urban engineering and policy making.

Evaluation and driving factors of ecological environment quality in the Tarim River basin based on remote sensing ecological index.

Changes in the ecological environment quality (EEQ) in the main inland Tarim River Basin in China substantially impact the regional development. Indeed, comprehensive ecological environment measures have been implemented in the Tarim River Basin since 2000. In this context, the main objective of the present study was to investigate the spatiotemporal evolution of the EEQ and monitor the effectiveness of ecological restoration measures in the Tarim River Basin over the 2000-2020 period using remote sensing data. First, a Remote Sensing Ecological Index (RSEI) was constructed based on the Moderate Resolution Imaging Spectroradiometer remote sensing data. Second, the spatial distributions and factors of the RSEI were analyzed by using Moran's Index and Geodetector. The results indicated that the overall RSEI values for the Tarim River Basin increased from 0.22 in 2000 to 0.25 in 2020. Moreover, the values for areas with poor EEQ decreased from 50.7% to 44.73%, while those with moderate EEQ increased from 11.45% to 16.91%. Therefore, the results demonstrated a slight overall improvement in the EEQ of the study area over the 2000-2020 period. On the other hand, the EEQ in the Tarim River Basin exhibited a significant spatial autocorrelation in the 2000-2020 period, with a relatively stable overall spatial distribution. Areas with high-high aggregation were distributed in the high-elevation mountainous areas in the western, northern, and southern parts of the study area. In contrast, areas with low-low aggregation were observed in the central and eastern low-elevation desert areas. The EEQ in the Tarim River Basin was driven by the interactions of several factors, including the normalized difference vegetation index, land surface moisture, land surface temperature, normalized differential build-up and bare soil index, and elevation. In particular, heat was the main driving factor that severely impacted the EEQ in the study area. Indeed, increase in the heat values could directly enhance meltwater runoff from glaciers in the basin, thereby resulting in short-term improvement in the basin EEQ. Furthermore, rapid urbanization from 2015 to 2020 resulted in a decrease in the average RSEI value of the Tarim River Basin by 0.1 over this period, consequently, the EEQ level decreased slightly. Briefly, the EEQ in the Tarim River Basin showed an overall increasing trend from 2000 to 2020, further demonstrating the effectiveness of a series of implemented ecological restoration measures in the Tarim River Basin over this period.

Based on sustainable development of skating sports training new ecological and environmental protection measures

In recent years, under the background of exam-oriented physical education reform, the government has issued a lot of physical education documents and policies. As a result, many schools have made fundamental changes in physical education activities. These policies are mainly aimed at getting young people to be more active and autonomous in school sports. This requires physical education training teachers must adhere to the people-oriented, student-oriented, so as to highlight the subject status of students. Based on this, students should establish a good sports values and ethics and form a good habit of lifelong sports, so as to further promote the sustainable development of youth sports activities. Based on the ecological theory of sustainable development as the background, this study constructs a unified theory of Unified Theory of Acceptance and Use of Technology (UTAUT) model for the sustainable training and development of youth skating sports training institutions. This study selects the youth skating sports training institutions in Beijing, China as the investigation object, covering small, medium and large institutions of different sizes, and analyzes based on the statistical data in 2023 and the results of field research. The results show that the application of this model not only increases the willingness of youth skating training institutions to continue to participate by 3.66%, but also promotes the diversified development of youth skating training. In addition, this study also discusses the environmental protection measures implemented in the process of skating training to ensure that the training activities are sustainable while reducing the impact on the environment, so as to build a sustainable development of the new ecology of skating sports training.

Highly sensitive low-temperature, low-pressure ultra-thin microbubble FPI sensors

We present an ultrathin microbubble Fabry-Perot interferometer (FPI) sensor designed for low-pressure and low-temperature sensing applications. The preparation of the ultrathin microbubbles was achieved through an improved arc discharge technique. Consequently, a pressure sensitivity of 63 pm/kPa and a temperature sensitivity of 220 pm/°C at room temperature (20°C) and low air pressure (110–200 kPa) were attained, a performance that is highly commendable for a sensor of its kind. Furthermore, the use of a Bragg grating was employed to eliminate the effect of temperature on pressure, thereby enhancing the accuracy of the measured pressure. Experimental findings indicate that this ultrathin microbubble FPI sensor exhibits ultra-high sensitivity to pressure and temperature at low temperatures and pressures, offering what we believe to be a novel solution for the measurement of low temperatures and low-pressure environments.

Carbon Neutral Strategies in the Case of Google Inc: A Case Study of Carbon Offset Mechanisms and Renewable Energy Projects

Abstract: Facing the serious challenge of global climate change, Google Inc. has adopted a series of innovative strategies to reduce its carbon footprint and promote corporate sustainability. This paper provides an in-depth analysis of how Google reduces carbon emissions and promotes sustainable development through a series of innovative measures, including large-scale investment in renewable energy, improving data center efficiency, implementing carbon offset projects, and promoting technological innovation in the field of transportation. These actions demonstrate Google's commitment to environmental protection and provide a model for other companies to follow. The study evaluated the economic feasibility and environmental benefits of Google's strategies through a cost-benefit analysis. The results show that despite technical challenges and market uncertainty, Google's environmental investments can bring significant economic benefits in the long term while having a positive impact on the environment. These strategies help Google achieve its carbon neutrality goals and provide momentum for the global transition to a low-carbon economy. In addition, the study emphasizes the importance of socio-cultural factors in promoting environmental strategies. Google has raised public awareness of climate change and enhanced social support for environmental actions through community involvement and educational programs. These findings reveal the need for companies to adopt environmental protection measures in the context of globalization and provide practical guidance for other organizations to implement sustainable development strategies.